Publication in EndNote Format

%0 Report
%@ 471
%A Kartam, Nabil A., and Wilkins, David E.
%T Toward a Foundation for Evaluating AI Planners
%C 333 Ravenswood Ave, Menlo Park, CA 94025
%I AI Center, SRI International
%D 1989
%X There exists a large body of Artificial Intelligence (AI) research on generating
plans, i.e., linear or nonlinear sequences of actions, to transform an initial
world state to some desired goal state. However, much of the planning research
to date has been complicated, ill-understood, and unclear. To make a planner applicable
to different planning problems, it should be domain independent. However, one
needs to know the circumstances under which a general planner works so that one
can determine its suitability for a specific domain. This paper presents criteria
for evaluating AI planners; these criteria fall into three categories: (1) performance
issues, (2) representational issues, and (3) communication issues. This paper
also assesses four nonlinear AI planners (NOAH, NONLIN, SIPE, and TWEAK).
%O AI Planners
%U http://www.ai.sri.com/pubs/files/1405.pdf